An adaptive classifier design for high-dimensional data analysis with a limited training data set

Q. Jackson; D.A. Landgrebe

doi:10.1109/36.975001

An adaptive classifier design for high-dimensional data analysis with a limited training data set

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/36.975001 ◽

2001 ◽

Vol 39 (12) ◽

pp. 2664-2679 ◽

Cited By ~ 128

Author(s):

Q. Jackson ◽

D.A. Landgrebe

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Training Data ◽

High Dimensional ◽

Data Set ◽

Classifier Design ◽

High Dimensional Data Analysis

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A self-improving classifier design for high-dimensional data analysis with a limited training data set

IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217) ◽

10.1109/igarss.2001.976209 ◽

2002 ◽

Cited By ~ 1

Author(s):

Q. Jackson ◽

D. Landgrebe

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Training Data ◽

High Dimensional ◽

Data Set ◽

Classifier Design ◽

High Dimensional Data Analysis

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Large Sample Covariance Matrices and High-Dimensional Data Analysis

10.1017/cbo9781107588080 ◽

2015 ◽

Cited By ~ 26

Author(s):

Jianfeng Yao ◽

Shurong Zheng ◽

Zhidong Bai

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

Covariance Matrices ◽

High Dimensional ◽

Large Sample ◽

Sample Covariance Matrices ◽

Sample Covariance ◽

High Dimensional Data Analysis

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Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis

Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) ◽

10.2991/iccsee.2013.583 ◽

2013 ◽

Author(s):

Lincheng Jiang ◽

Wentang Tan ◽

Zhenwen Wang ◽

Fengjing Yin ◽

Bin Ge ◽

...

Keyword(s):

Feature Selection ◽

Data Analysis ◽

Matrix Factorization ◽

Nonnegative Matrix Factorization ◽

High Dimensional Data ◽

Nonnegative Matrix ◽

High Dimensional ◽

High Dimensional Data Analysis ◽

Selection For

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Machine Learning and High-Dimensional Data Analysis

Principles of Clinical Cancer Research ◽

10.1891/9781617052392.0017 ◽

2018 ◽

Author(s):

Sanjay Aneja ◽

James B. Yu

Keyword(s):

Machine Learning ◽

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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From Data to the Physics Using Ultrametrics: New Results in High Dimensional Data Analysis

10.1063/1.2193119 ◽

2006 ◽

Cited By ~ 4

Author(s):

Fionn Murtagh

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis

IEEE Transactions on Big Data ◽

10.1109/tbdata.2019.2937785 ◽

2019 ◽

pp. 1-1 ◽

Cited By ~ 2

Author(s):

Fei Wen ◽

Lei Chu ◽

Rendong Ying ◽

Peilin Liu

Keyword(s):

Data Analysis ◽

Covariance Matrix ◽

High Dimensional Data ◽

Positive Definite ◽

High Dimensional ◽

High Dimensional Data Analysis

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Bitmap Indices for Speeding Up High-Dimensional Data Analysis

Lecture Notes in Computer Science - Database and Expert Systems Applications ◽

10.1007/3-540-46146-9_87 ◽

2002 ◽

pp. 881-890 ◽

Cited By ~ 8

Author(s):

Kurt Stockinger

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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High Dimensional Data Analysis: Integrating Submodels

Contributions to Statistics - Big and Complex Data Analysis ◽

10.1007/978-3-319-41573-4_14 ◽

2017 ◽

pp. 285-304 ◽

Cited By ~ 1

Author(s):

Syed Ejaz Ahmed ◽

Bahadır Yüzbaşı

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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Projected Clustering with LASSO for High Dimensional Data Analysis

Advances in Intelligent Systems and Computing - Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014 ◽

10.1007/978-3-319-11933-5_23 ◽

2015 ◽

pp. 201-209

Author(s):

Lidiya Narayanan ◽

Anoop S. Babu ◽

M. R. Kaimal

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

Projected Clustering ◽

High Dimensional Data Analysis

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Abstract 01: High-dimensional data analysis in oncology.

Cancer Epidemiology Biomarkers & Prevention ◽

10.1158/1055-9965.gwas-01 ◽

2012 ◽

Vol 21 (11 Supplement) ◽

pp. 01-01 ◽

Cited By ~ 1

Author(s):

Akash Singh

Keyword(s):

Data Analysis ◽

High Dimensional Data ◽

High Dimensional ◽

High Dimensional Data Analysis

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